Line-Fit

Line-Fit
Developer: Bjarne Berge
Category: Productivity
~150 - 300
3 ratings

Line-Fit Summary

Line-Fit is a iOS app in the Productivity category, developed by Bjarne Berge. First released 6 years ago(Jun 2019), the app has 3 ratings with a 3.67★ (average) average rating.

Store info: Last updated on App Store on Nov 15, 2020 .

SDKs, Trackers & Permissions

App not yet scanned for SDKs.

App Details
Store ID: 1448053643
First Released: 2019-06-15
Store Last Updated: 2020-11-15
In-App Purchases: No
Ads: No
Website: oilgasapp.com
App Store
Crawl Status: Success
Store First Crawled: 2025-03-03
Store Last Crawled: 2025-11-30
Ads & App-Ads.txt
App does not have ads.
SDK Tracking Status
App not yet analyzed for SDKs.

The download and scan process is automated but can require manual troubleshooting. Feel free to reach out if your request does not complete in 24hrs or if you have any questions.


3.67★

Ratings: 3

5★
4★
3★
2★
1★

Screenshots

App screenshot
App screenshot
App screenshot
App screenshot
App screenshot
App screenshot

App Description

The Line-Fit app uses linear regression to model the relationship between two variables (x and y) by fitting a linear equation to observed data. One variable is considered to be an explanatory (independent) variable, and the other is considered to be a response (dependent) variable.

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and the intercept is a (the value of y when x = 0).

To measure the association between the two variables the correlation coefficient is used, which is a value between -1 and 1 indicating the strength of the association of the observed data for the two variables.

The coefficient of determination, R2, measures how close the data are to the fitted regression line. In general, higher values of R2 indicate a better fit of the model to the given data. R2 is always positive and equal to 1.0 for a perfect fit.